ArticlePolymers2024
Simultaneous Optimization of Deacetylation Degree and Molar Mass of Chitosan from Shrimp Waste.
Article in Polymers, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Marine Food Polysaccharides: Representative Structural Features, Immunomodulatory Effects, and Food Applications.Marine drugs · 2026Review
- Thyme Essential Oil Nanoemulsion Stabilized by Chitosan Nanoparticles for Potential Application in Food Preservation.Polymers · 2026Article
- Chitosan nanoparticles: Green synthesis, biological activities, and sustainable frontiers in targeted drug delivery and cancer nanomedicine - A comprehensive review.Materials today. Bio · 2025Review
- Polyampholytic Hydrogels from Chitosan Macromonomers with Aryl-Mono and Di-Sulfonated Groups: An Approach to the Removal of Copper Ions and Ciprofloxacin in Aqueous Solutions.Gels (Basel, Switzerland) · 2025Article
- New Composite Materials Based on PVA, PVP, CS, and PDA.Polymers · 2024Article
- A Review of Chitosan-Based Materials for Biomedical, Food, and Water Treatment Applications.Materials (Basel, Switzerland) · 2024Review
- Applications of Chitosan in Prevention and Treatment Strategies of Infectious Diseases.Pharmaceutics · 2024Review
- α-Chitosan and β-Oligochitosan Mixtures-Based Formula for In Vitro Assessment of Melanocyte Cells Response.International journal of molecular sciences · 2024Article
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Authors and funding
8 authors.
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Abstract
Shrimp waste is a valuable source for chitin extraction and consequently for chitosan preparation. In the process of obtaining chitosan, a determining step is the chitin deacetylation. The main characteristic of chitosan is the degree of deacetylation, which must be as high as possible. The molar mass is another important parameter that defines its utilizations, and according to these, high or low molar masses are required. The present study is an attempt to optimize the deacetylation step to obtain chitosan with a high degree of deacetylation and high or low molar mass. The study was carried out based on experimental data obtained in the frame of a central composite design where three working parameters were considered: NaOH concentration, liquid:solid ratio, and process duration. The regression models defined for the degree of deacetylation (DD) and for the mean molar mass (MM) of chitosan powders were used in the formulation of optimization problems. The objectives considered were simultaneous maximum DD and maximum/minimum MM for the final chitosan samples. For these purposes, multiobjective optimization problems were formulated and solved using genetic algorithms implemented in Matlab
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